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This paper presents a simple color based segmentation technique for faces. The proposed technique utilizes saliency maps and incorporates both top-down (data driven) and bottom-up saliency methods to generate the saliency map used in the segmentation phase. The top-down approach uses skin color data obtained from a training database to bias the skin color saliency map while the bottom-up approach...
Identifying faces under the influence of illumination and pose can be challenging as the presence of two variations on the same image can greatly change the appearance of a person. Thus, in this paper, we propose a multiview face recognition system that is able to solve illumination and pose face recognition problems. The proposed system uses multiband feature technique to extract features that are...
This paper presents a multi-speakers tracking algorithm using audio-visual data fusion. The audio information is the direction of speakers and the visual information is the direction of detected faces. These observations are used as inputs of the tracking algorithm, which employed the framework of particle filter. For multi-target tracking, we present a flexible data association and data fusion, which...
Here an efficient fusion technique for automatic face recognition has been presented. Fusion of visual and thermal images has been done to take the advantages of thermal images as well as visual images. By employing fusion a new image can be obtained, which provides the most detailed, reliable, and discriminating information. In this method fused images are generated using visual and thermal face...
This paper presents a projection model to fuse the scores of a visual face verification system and an infrared face verification system. Essentially, the model consists of an arbitrarily number of linear projection vectors with randomly permuted elements. An equal error rate formulation is next adopted to learn the linear coefficients for projection. The learned model is consequently used for prediction...
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